Speaking of Psychology
Speaking of Psychology

AI “de-skilling”: What happens when we offload our work to AI? With Brooke Macnamara, PhD

July 22, 2026

AI Summary

5 min read

In 370 BCE, Plato worried that writing would destroy people’s memories. He was right—we did lose the ability to recite epic poems from memory—but society adjusted and mostly stopped caring. Now, as AI tools handle everything from drafting emails to detecting polyps during colonoscopies, psychologist Brooke Macnamara of Purdue University is asking whether the same trade-off is playing out again, only this time with higher stakes. The core question is not whether AI makes us more productive in the short term—it clearly does—but what happens to our own skills when we stop using them.

Cognitive offloading: a very old pattern with a new twist

Macnamara frames the current moment as part of what scholars call the Sisyphian cycle of technology panics. Every new tool—writing, calculators, GPS, Google—prompts the same fear that we are losing something essential. And in many cases, we do lose the skill. People no longer memorize phone numbers or build mental maps of cities the way they once did. The difference with AI, Macnamara argues, is that earlier technologies mostly offloaded rote or procedural tasks. AI, by contrast, takes over components of cognitive work that were previously the exclusive domain of human experts: synthesizing information, making diagnostic judgments, and generating creative outputs. “If we are cognitively offloading to something else, and we're not engaging

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What you'll learn

  • 1 (00:30) **Introduction: The Core Question** - Host Kim Mills frames the episode: as workers rely on AI for critical tasks, what happens to our own skills?
  • 2 (02:30) **Historical Precedent: The Sisyphian Cycle of Technology Panics** - Dr. McNamara explains that fears of skill loss are not new, dating back to Plato's lament about writing.
  • 3 (05:28) **Early Evidence of Skill Decay from AI** - While it's early, initial studies show concerning signs that using AI can lead to a loss of underlying skill.
  • 4 (07:13) **The Spectrum of Offloading: How You Use AI Matters** - Cognitive offloading is not an on-off switch; the key is how you engage with the AI tool.
  • 5 (09:02) **AI vs. Google: A Study on Synthesis and Critical Thinking** - A recent study compared learning by Googling vs. using AI, with clear results on the loss of cognitive work.
  • 6 (11:20) **The Danger of Overconfidence** - Relying on AI can create a false sense of your own competency, mistaking the AI's performance for your own.
  • 7 (13:01) **Novices vs. Experts: Different Risks** - The impact of AI differs dramatically depending on whether you are learning a new skill or performing an established one.

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Show Notes

From writing emails to analyzing medical images, AI is becoming a routine part of many people's work. These tools can boost productivity and free us from tedious tasks -- but what happens when we start relying on them for skills that once required years of practice to develop? Brooke Macnamara, PhD, discusses the psychology of cognitive offloading; what early research suggests about AI's effects on learning, memory and expertise; why novices and experts may be affected differently by AI tools; and how workers can use AI in ways that support, rather than undermine, their long-term skill development.

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